paugier

PEP 9999: A vision for Python's C API

This document is a tentative improvement (in particular adding an intro) by Pierre Augier of a PEP draft (https://docs.google.com/document/d/1hi7VJEfd7_59rqgkQhT1frmtxaktjnsVxeKZKFbxpJ8/edit). I wrote with my own point of view of Python user and package maintainer. I guess what I wrote is not actually adapted for this first PEP, but it seems to me that it can anyway be useful.

Authors: Stepan Sindelar, Petr Viktorin, Antonio Cuni, Tim Felgentreff, Mark Shannon, Ken Jin

Note: this PEP will be moved to the Py-NI repo once it’s more concrete.

Abstract

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\documentclass[11pt]{article}
\usepackage[utf8]{inputenc}
\usepackage[french]{babel}
\usepackage{amsmath, amssymb}
\usepackage{graphicx}
\usepackage{geometry}
\usepackage{enumitem}
\usepackage{hyperref}
\geometry{margin=2.5cm}

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"""
See https://github.com/serge-sans-paille/pythran/issues/1501

"""

from functools import partial

import numpy as np

from transonic import jit, wait_for_all_extensions

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Notes pour Laura sur présentation pyconfr 2019 sur Transonic

http://tiny.cc/pyconfr2019-transonic

J'essaierai de te faire un pdf mais pas sûr que j'y arrive. Je n'ai jamais vraiment fait ça...

1. Titre, institutions et personnes

2. De quoi on parle : un nouveau paquet Python. Oh la belle image. On part de Python/Numpy et Transonic accélère ça avec Cython, Numba et Pythran.

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import numpy as np

from fluidpythran import boost, Array, NDim


@boost
def nint(x: float):
    if x >= 0:
        return int(x + 0.5)

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from dataclasses import dataclass


@dataclass
class Base:
    a: "float[:, :]"
    b: "float[:, :]"
    c: "float[:, :]"

    def intermediate(self, d: int):